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VISual Concept Extraction challenge in RAdioLogy

VISual Concept Extraction challenge in RAdioLogy

Objective

VISCERAL is a support action that will organize two competitions on information extraction and retrieval involving medical image data and associated text that will benchmark the state of the art and define the next big challenges in large scale data processing in medical image analysis.
The increasing amounts of medical imaging data acquired in clinical practice hold a tremendous body of diagnostically relevant information. Only a small portion of these data are accessible during clinical routine or research due to the complexity, richness, high dimensionality and size of the data.
There is consensus in the community that leaps in this regard are hampered by the lack of large bodies of data shared across research groups and an associated definition of joint challenges on which development should focus. VISCERAL will provide the means to jump-start this process with two competitions (1) providing access to unprecedented amounts of real world imaging data annotated through experts and (2) using a community effort to generate a large corpus of automatically generated standard annotations. The goal of the project is to formulate relevant and challenging tasks, to provide the necessary data for research and evaluation, and to conduct competitions for identifying successful computational strategies and highlighting directions of future research.
To this end, VISCERAL will conduct two competitions. The first competition will focus on automatic identification, localization and segmentation of anatomical structures in medical imaging data, the second competition will comprise retrieval tasks that aim at identifying similar cases relevant for diagnosis. In addition to the direct evaluation, the project will result in two data corpora - one gold corpus of expert manual annotations, and a silver corpus that will be computed from the competition entries. Both data sets will be made available to challenge participants and, afterwards, to the scientific community.

Coordinator

TECHNISCHE UNIVERSITAET WIEN

Address

Karlsplatz 13
1040 Wien

Austria

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 383 583

Administrative Contact

Allan Hanbury (Dr.)

Participants (7)

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MEDIZINISCHE UNIVERSITAET WIEN

Austria

EU Contribution

€ 232 564

HAUTE ECOLE SPECIALISEE DE SUISSE OCCIDENTALE

Switzerland

EU Contribution

€ 280 340

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

EU Contribution

€ 233 688

UNIVERSITATSKLINIKUM HEIDELBERG

Germany

EU Contribution

€ 181 258

AGENCIA D'INFORMACIO AVALUACIO I QUALITAT EN SALUT

Spain

EU Contribution

€ 98 440

AGENCIA DE QUALITAT I AVALUACIO SANITARIES DE CATALUNYA

Spain

VEREIN ZUR FORDERUNG DER IT-SICHERHEIT IN OSTERREICH

Austria

EU Contribution

€ 15 006

Project information

Grant agreement ID: 318068

Status

Closed project

  • Start date

    1 November 2012

  • End date

    30 April 2015

Funded under:

FP7-ICT

  • Overall budget:

    € 1 593 016

  • EU contribution

    € 1 424 879

Coordinated by:

TECHNISCHE UNIVERSITAET WIEN

Austria